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The TDSequentialStrategy is a trading strategy that uses several technical indicators to generate buy and sell signals. Here is a breakdown of what the strategy does:
populate_indicators: This function adds various technical analysis (TA) indicators to the provided DataFrame. It includes indicators such as 'exceed_high' and 'exceed_low' which are initially set to False.
It also calculates 'seq_buy' and 'seq_sell' based on the close prices, using a shifting window of 4.
These variables represent the sequential buy and sell counts.
populate_buy_trend: Using the TA indicators from the DataFrame, this function populates the 'buy' column. It sets the value to 1 when the conditions are met: 'exceed_low' is True and 'seq_buy' is greater than 8. populate_sell_trend: Similar to the previous function, this one populates the 'sell' column based on the TA indicators. The 'sell' column is set to 1 when either 'exceed_high' is True or 'seq_sell' is greater than 8. The strategy utilizes sequential counts of buying and selling occurrences to identify potential entry and exit points in the market. The 'exceed_low' and 'exceed_high' indicators help determine if the current price exceeds previous lows or highs, respectively. By combining these indicators, the strategy aims to capture trends and generate signals for buying and selling.
It also calculates 'seq_buy' and 'seq_sell' based on the close prices, using a shifting window of 4.
These variables represent the sequential buy and sell counts.
populate_buy_trend: Using the TA indicators from the DataFrame, this function populates the 'buy' column. It sets the value to 1 when the conditions are met: 'exceed_low' is True and 'seq_buy' is greater than 8. populate_sell_trend: Similar to the previous function, this one populates the 'sell' column based on the TA indicators. The 'sell' column is set to 1 when either 'exceed_high' is True or 'seq_sell' is greater than 8. The strategy utilizes sequential counts of buying and selling occurrences to identify potential entry and exit points in the market. The 'exceed_low' and 'exceed_high' indicators help determine if the current price exceeds previous lows or highs, respectively. By combining these indicators, the strategy aims to capture trends and generate signals for buying and selling.
stoploss: -0.05 timeframe: 1h hash(sha256): 3d77406211e8d7903742b8e8cb85fe835d07679309a258e599f7d75912741c33
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last change: 2022-07-02 19:54:08